This repository contains extensive data for the European Alps:
- Observations of ~3,500 plant species
- Climate (1-km), soil (100-m) and land cover predictors (1km); current and future scenarios (28 CMIP6-GCMs, 2 land cover change and 3 dispersal scenarios i.e., unlimited, no and realistic vegetation dispersal)
- Flora migration rates (categorical) and ecological preferences (continuous indicator values)
- Regional maps of barriers to migration and water bodies at 100-m resolution
- Sampling effort, distance to roads and cities predictors at 100-m resolution
- Present and future abundances over the study region at 1-km resolution (~2,000 species)
- Present and future multifaceted and uniqueness of the European Alps' Flora at 1-km resolution
- Present and future conservation recommendations at 1-km resolution (26 current and future strategies)
- Phylogenetic data and functional traits of ~2,000 plants (raw data and classification trees)
- All scripts, data and plots used for the analyses, including a singularity container (mini-linux) to run them
This work was supported by:
- ANR
(link)
(Grant/Award: ANR-16-CE93-004 )
- SNF
(link)
(Grant/Award: 310030L_170059 )
Chauvier, Yohann; Descombes, Patrice; Guéguen, Maya; Boulangeat, Louise; Thuiller, Wilfried; Zimmermann, Niklaus E. (2022). Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity. EnviDat. doi:10.16904/envidat.334.
Karger DN. et al. Climatologies at high resolution for the earth’s land surface areas, Scientific Data, 4, 170122 (2017) doi: 10.1038/sdata.2017.122.
Chauvier, Yohann; Hagen, Oskar; Albouy, Camille; Descombes, Patrice; Fopp, Fabian; Nobis, Michael P.; Brun, Philipp; Lyu, Lisha; Csilléry, Katalin; Pellissier, Loïc (2022). gbif.range - An R package to generate species range maps based on ecoregions and a user-friendly GBIF wrapper. EnviDat. doi:10.16904/envidat.352.
Karger, D. N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R. W., ... & Kessler, M. (2017). Climatologies at high resolution for the earth’s land surface areas. Scientific data, 4(1), 1-20
Chauvier, Y., Descombes, P., Guéguen, M., Boulangeat, L., Thuiller, W., & Zimmermann, N. E. (2022). Resolution in species distribution models shapes spatial patterns of plant multifaceted diversity. Ecography, 2022(10), e05973.
D. Aeschimann , K. Lauber , D. M. Moser & J.-P. Theurillat ( 2004). Flora alpina. Haupt, Belin & Zanichelli.
Engler, R., Hordijk, W., & Guisan, A. (2012). The MIGCLIM R package–seamless integration of dispersal constraints into projections of species distribution models. Ecography, 35(10), 872-878
Vittoz, P., & Engler, R. (2007). Seed dispersal distances: a typology based on dispersal modes and plant traits. Botanica Helvetica, 117(2), 109-124.